Before the furniture store began its ad campaign, it averaged 153 customers per day. The manager is investigating if the average is smaller since the ad came out. The data for the 12 randomly selected days since the ad campaign began is shown below: 132, 163, 158, 155, 146, 163, 150, 138, 133, 146, 144, 147 Assuming that the distribution is normal, what can be concluded at the a = 0.01 level of significance? a. For this study, we should use Select an answer b. The null and alternative hypotheses would be: Но: Select an answer H1: Select an answer c. The test statistic ? (please show your answer to 3 decimal places.) d. The p-value = (Please show your answer to 4 decimal places.) e. The p-value is (? f. Based on this, we should Select an answer the null hypothesis. g. Thus, the final conclusion is that ... The data suggest the populaton mean is significantly less than 153 at a = 0.01, so there is sufficient evidence to conclude that the population mean number of customers since the ad campaign began is less than 153. The data suggest the population mean is not significantly less than 153 at a = 0.01, so there is sufficient evidence to conclude that the population mean number of customers since the ad campaign began is equal to 153. The data suggest that the population mean number of customers since the ad campaign began is not significantly less than 153 at a = 0.01, so there is insufficient evidence to conclude that the population mean number of customers since the ad campaign began is less than 153.

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Before the furniture store began its ad campaign, it averaged 153 customers per day. The manager is
investigating if the average is smaller since the ad came out. The data for the 12 randomly selected days since
the ad campaign began is shown below:
132, 163, 158, 155, 146, 163, 150, 138, 133, 146, 144, 147
Assuming that the distribution is normal, what can be concluded at the a =
0.01 level of significance?
a. For this study, we should use
Select an answer
b. The null and alternative hypotheses would be:
Но:
Select an answer
H1:
?
Select an answer
c. The test statistic (?
(please show your answer to 3 decimal places.)
%3D
d. The p-value =
(Please show your answer to 4 decimal places.)
e. The p-value is (? v
f. Based on this, we should | Select an answer
the null hypothesis.
g. Thus, the final conclusion is that ...
The data suggest the populaton mean is significantly less than 153 at a = 0.01, so there is
sufficient evidence to conclude that the population mean number of customers since the ad
campaign began is less than 153.
The data suggest the population mean is not significantly less than 153 at a = 0.01, so there is
sufficient evidence to conclude that the population mean number of customers since the ad
campaign began is equal to 153.
| The data suggest that the population mean number of customers since the ad campaign began is
not significantly less than 153 at a = 0.01, so there is insufficient evidence to conclude that the
population mean number of customers since the ad campaign began is less than 153.
%3D
Transcribed Image Text:Before the furniture store began its ad campaign, it averaged 153 customers per day. The manager is investigating if the average is smaller since the ad came out. The data for the 12 randomly selected days since the ad campaign began is shown below: 132, 163, 158, 155, 146, 163, 150, 138, 133, 146, 144, 147 Assuming that the distribution is normal, what can be concluded at the a = 0.01 level of significance? a. For this study, we should use Select an answer b. The null and alternative hypotheses would be: Но: Select an answer H1: ? Select an answer c. The test statistic (? (please show your answer to 3 decimal places.) %3D d. The p-value = (Please show your answer to 4 decimal places.) e. The p-value is (? v f. Based on this, we should | Select an answer the null hypothesis. g. Thus, the final conclusion is that ... The data suggest the populaton mean is significantly less than 153 at a = 0.01, so there is sufficient evidence to conclude that the population mean number of customers since the ad campaign began is less than 153. The data suggest the population mean is not significantly less than 153 at a = 0.01, so there is sufficient evidence to conclude that the population mean number of customers since the ad campaign began is equal to 153. | The data suggest that the population mean number of customers since the ad campaign began is not significantly less than 153 at a = 0.01, so there is insufficient evidence to conclude that the population mean number of customers since the ad campaign began is less than 153. %3D
h. Interpret the p-value in the context of the study.
|There is a 6.0578332% chance that the population mean number of customers since the ad
campaign began is less than 153.
If the population mean number of customers since the ad campaign began is 153 and if you
collect data for another 12 days since the ad campaign began, then there would be a 6.0578332%
chance that the sample mean for these 12 days would be less than 147.9.
There is a 6.0578332% chance of a Type I error.
If the population mean number of customers since the ad campaign began is 153 and if you
collect data for another 12 days since the ad campaign began, then there would be a 6.0578332%
chance that the population mean number of customers since the ad campaign began would be
less than 153.
i. Interpret the level of significance in the context of the study.
| There is a 1% chance that there will be no customers since everyone shops online nowadays.
| There is a 1% chance that the population mean number of customers since the ad campaign
began is less than 153.
If the population mean number of customers since the ad campaign began is 153 and if you
collect data for another 12 days since the ad campaign began, then there would be a 1% chance
that we would end up falsely concuding that the population mean number of customers since the
ad campaign began is less than 153.
UIf the population mean number of customers since the ad campaign began is less than 153 and if
you collect data for another 12 days since the ad campaign began, then there would be a 1%
chance that we would end up falsely concuding that the population mean number of customers
since the ad campaign is equal to 153.
Transcribed Image Text:h. Interpret the p-value in the context of the study. |There is a 6.0578332% chance that the population mean number of customers since the ad campaign began is less than 153. If the population mean number of customers since the ad campaign began is 153 and if you collect data for another 12 days since the ad campaign began, then there would be a 6.0578332% chance that the sample mean for these 12 days would be less than 147.9. There is a 6.0578332% chance of a Type I error. If the population mean number of customers since the ad campaign began is 153 and if you collect data for another 12 days since the ad campaign began, then there would be a 6.0578332% chance that the population mean number of customers since the ad campaign began would be less than 153. i. Interpret the level of significance in the context of the study. | There is a 1% chance that there will be no customers since everyone shops online nowadays. | There is a 1% chance that the population mean number of customers since the ad campaign began is less than 153. If the population mean number of customers since the ad campaign began is 153 and if you collect data for another 12 days since the ad campaign began, then there would be a 1% chance that we would end up falsely concuding that the population mean number of customers since the ad campaign began is less than 153. UIf the population mean number of customers since the ad campaign began is less than 153 and if you collect data for another 12 days since the ad campaign began, then there would be a 1% chance that we would end up falsely concuding that the population mean number of customers since the ad campaign is equal to 153.
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